UiPath had four patents in cybersecurity during Q4 2023. UiPath Inc’s patents in Q4 2023 focus on training generative AI/ML models to recognize applications and user interactions using computer vision and OCR, as well as implementing robot access control and governance for RPA workflows. Additionally, a system is disclosed that includes a marketplace portal for ordering business services, a cloud controller for deployment, and an API scanner to discover and publish API information. GlobalData’s report on UiPath gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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UiPath grant share with cybersecurity as a theme is 25% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Training a generative artificial intelligence / machine learning model to recognize applications, screens, and user interface elements using computer vision (Patent ID: US20230360388A1)
The patent filed by UiPath Inc. describes techniques for training a generative artificial intelligence/machine learning model to recognize applications, screens, and UI elements using computer vision and to identify user interactions without the need for system-level or application-level information. The system involves user computing systems with recorder processes sending data to a server for training the AI/ML model, which initially learns to recognize applications and UI elements before identifying individual user interactions with confidence. The training process can involve comparing consecutive screenshots or video frames to detect user actions like button presses, character entries, menu selections, and more, with additional information such as browser history, heat maps, and biometric data enhancing the training process.
The patent also covers the use of an automation box to collect user input data, the generation of heat maps to analyze user behavior, and the implementation of feedback loop processes for continuous monitoring of screen changes. The system can perform optical character recognition on screen changes, compare the results to keyboard input, and link text to specific locations. Additionally, the patent includes a computer-readable medium storing a program for training the AI/ML model and a computer-implemented method for recognizing applications, screens, UI elements, and user interactions using computer vision. Overall, the patent focuses on training a generative AI/ML model without prior knowledge of applications, screens, or UI elements, utilizing various data sources to enhance the accuracy of recognizing user interactions with applications and UI elements.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
